In today's society, sensors, computers, communication platforms and storage technologies give us access to previously unmanageable volumes of data, so-called Big Data. The conversion of data into actionable knowledge creates new opportunities and significant economic values. Big Data has revolutionised both the commercial world and research in many areas, and has opened up for new interdisciplinary collaborations.
The Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) addresses data-driven methods to gain deeper knowledge and understanding in a variety of applications in engineering, science and humanities. Research in computer science, media technology, signal processing and statistics represents the technical core of the center. Combined with research from application fields, such as astrophysics, engineering, linguistics, social science and eHealth, we create a unique dynamics.
Exploiting data to gain manageable information and useful knowledge is not a research venture alone. There is also a large collaboration interest in the industry and the public sector. DISA works closely with several clusters, networks and individual companies representing the IT and heavy vehicle industries, the health sector and municipalities and agencies. These partnerships combine excellent research with practical solutions to specific challenges in society, for the mutual benefit of researchers from different scientific disciplines and of external partners.
At DISA, we encourage and support seed projects. Seed projects are intended to promote and nurture excellence research, development and innovation within data intensive sciences and applications with cross-discipline collaboration.
DISA can finance up to SEK 100 000 to initiate research cooperation connected to data intensive sciences and applications. The seed project should lead up to an application for external funding.
During 2019 there is SEK 800 000 in total available for seed funding.
Prerequisites and evaluation criteria
The consortium should consist of one or more researches from the DISA consortium in close collaboration with other researchers, in order to build a strong cross-discipline collaboration. It is important that all members in the consortium have an active role in the seed project. Please describe the different roles in the proposal. Industry/public sector collaboration is a plus.
The evaluation criteria include relevance of the proposal for the operational and strategic goals of DISA, feasibility of the project activity, and chances to succeed with an application for external funding within the project time.
Read about the application process in this pdf file. Applications should be submitted no later than the last day in each month to be handled during the following DISA coordinator meeting.
For more information about the seed project concept, please contact Diana Unander.
Ongoing seed projects
- Developing the Skeleton Avatar camera technique as a rapid, valid and sensitive measurement of mobility in COPD patients treated in primary care
Applicants: Cecilia Fagerström, Anders Halling, Linda Askenäs, Olof Björneld, Amanda Hellström, Mirjam Ekstedt
- An Exploration of the Challenges and Possibilities of Multidimensional Visualization in the Context of Visual Learning Analytics
Applicants: Rafael Martins, Marcelo Milrad, Italo Masiello
- Exploring data and establishing routines for collaboration on energy experiments
Applicants: Mike Farjam, Krushna Mahapatra, Giangiacomo Bravo
- Data-intensive tools for effective carbon mitigation in forestry
Applicants: Jorge Zapico, Rafael Martins, Johan Bergh
Previous seed projects
- Smart-Troubleshooting in the Connected Society
Applicants: Francesco Flammini, Welf Löwe, Shiyan Hu, Mauro Caporuscio, Morgan Ericsson, Narges Khakpour, Diego Perez-Palacin
- ODXVR x NTS: Exploring the Nordic Tweet Stream in Virtual Reality
Applicants: Aris Alissandrakis, Mikko Laitinen, Jukka Tyrkkö
The Linnaeus University Centre for Data Intensive Sciences and Applications embraces the following research groups.
Computational Social Sciences The research in the area Computational Social Sciences within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is about producing and analyzi…
Data Intensive Astroparticle Physics The research area Data Intensive Astroparticle Physics within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) works with the detectio…
Data Intensive Digital Humanities The research area Data Intensive Digital Humanities within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) is a network that brings toge…
Data-driven Software and Information Quality Within the research area Data-driven Software and Information Quality, the objective of Linnaeus University Centre for Data Intensive Sciences and Applicati…
eHealth – Improved Data to and from Patients The research in the eHealth area within Linnaeus University Centre for Data Intensive Sciences and Applications (DISA) will result in novel ways for systema…
Forestry, Wood and Building Technologies Within the research area Forestry, Wood and Building Technologies, the objective of Linnaeus University Centre for Data Intensive Sciences and Applications (DIS…
High-Performance Computing Center (HPCC) The High-Performance Computing Center (HPCC) offers computational and storage resources to help researchers to solve big computing and big data problems. Beside…
Visual Analytics for Engineering Smarter Systems (VAESS) Visual Analytics for Engineering Smarter Systems (VAESS) is a research area within the Linnaeus University Centre for Data Intensive Sciences an…
Around thirty researchers from different disciplines at Linnaeus University constitute the critical mass within DISA. The scientists are divided into seven groups led by the following researchers.
- Andreas Kerren Professor
- Giangiacomo Bravo Professor
- Johan Bergh Professor
- Marcelo Milrad Professor, Vice-dean
- Mikko Laitinen Professor
- Morgan Ericsson Associate professor
- Sabri Pllana Senior lecturer
- Tora Hammar Senior lecturer
- Welf Löwe Professor
- Yvonne Becherini Associate Professor